>> From theCube studios in Palo Alto in Boston, bringing you data-driven insights from theCube in ETR. This is Breaking Analysis with Dave Vellante. >> New data suggests the tech spending will be higher than we previously thought for 2021. COVID learnings, a faster than expected vaccine rollout, productivity gains in the last 10 months, and broad-based cloud leverage lead us to raise our outlook for next year. We now expect a three to 5% increase in 2021 technology spending, roughly double our previously forecasted growth rate of 2%. Hello everyone and welcome to this week's we keep on Cube Insights powered by ETR. In this breaking analysis, we're going to share new spending data from ETR partners and take a preliminary look at which sectors and which companies are showing momentum heading into next year. Let's get right into it. The data is pointing to a strong 2021 rebound. A latest survey from ETR and the information from theCube Community suggests that the accelerated pace of the vaccine rollout pent up demand for normalcy and learnings from COVID will boost 2021 tech spending higher than previously anticipated. Now a key factor we've cited is that the forced March to digital transformation due to the pandemic created a massive proof of concept for what works and what doesn't in a digital business. CIOs are planning to bet on those sure things to drive continued productivity improvements and new business opportunities. Now, speaking of productivity, nearly 80% of respondents in the latest ETR survey indicate that productivity either stayed the same or improved over the past three months. Now of those, the vast majority, more than 80% cited improvements in productivity. This has been a common theme throughout the year. As well, the expectation among CIOs is that many workers will return to the office in the second half of the year, which we expect will drive new spending in the infrastructure needs of company HQs, which have been neglected over the past 10 months. Now, despite the expectation that many workers will return to the office, 2020 has shown us that working remotely, hey, it's here to stay, and a much larger number of employees are going to be permanently remote working than pre pandemic. ETR survey data shows that that number is going to be approximately double over the longterm. We'll look at some of that specific data. In addition, cloud computing, it became the staple of business viability in 2020. Those that were up the cloud adoption ramp, well, they benefited greatly, those that weren't well, they had to learn fast. Now, along with remote work cloud necessitated new thinking around network security, and as we've reported identity access management, endpoint security and cloud security with the beneficiaries. Companies like Okta, CrowdStrike, Zscaler, a number of others continue to ride this wave. Larger established security companies like Cisco, Palo Alto Networks, F5, Fortunate and others, they have major portions of their business that are benefiting from the tailwinds in the shift and network traffic, as a result of cloud and remote work. Now, despite all the momentum in the market and the expect of improvements in 2021, these tailwinds are not expected to be evenly distributed, far from it. We think Q4 is going to remain soft relative to last year and Q1 2021 is going to be flat, maybe up slightly. Remember the COVID impact was definitely felt in March of this year. So based on the earnings that we saw, there may be some upside in Q1, given that organizations are still being cautious in Q4, and really there's still some uncertainty in Q1. Let's look at some of the survey responses and you'll see why we're more optimistic than we've previously reported. This chart shows the responses to key questions around spending trajectories from the March, June, September, and December surveys of this year. Now it's no surprise that there's been little change in remote workers and limiting business travel. But look at the other categories, seeing a dramatic reduction in hiring freezes. The percentage of companies freezing new IT deployments continues to drop throughout the year. And then conversely, the percentage of companies accelerating new it deployments that's sharply up to 34% from the March low of 12%. And look at the headcount trends. The percentage of companies instituting layoffs. It continues its downward trajectory while accelerated hiring is now up to 17%. So there's a lot to be excited about in these results. Now let's look the remote worker trend. How do CIO see that shift in the near to midterm? This chart shows the work from home data and it's amazingly consistent from the September survey drill down. You can see CIO's is indicate that on average, 15 to 60% of workers were remote prior to the pandemic, and that jumped up to 72 to 73% currently, and is expected to stay in the high fifties until the summer of 2021. Thereafter, organizations expect that the number of employees that work remotely on a permanent basis is going to more than double to 34% long term. By the way, I've talked to a number of executives, CEOs, CIOs, and CFOs that expect that number to be higher than these especially in the technology sector. They expect more than half of their workers to be remote and are looking to consolidate facilities cost to save money. As we've said, cloud computing has been the most significant contributor to business resilience and digital transformation this year. So let's look at cloud strategies and see how CIOs expect those to evolve. This chart shows responses to how organizations see multi-cloud evolving. It's interesting to note the ETR call-out, which concludes that the narrative around multi-cloud multi-cloud is real, and it is. But I want to talk to you about a flip side to this notion in that, as many customers have, or are planning to increasingly concentrate workloads in the cloud. This actually makes some sense. Sure, virtually every major company uses multiple clouds, but more often than not, it concentrate work on a primary cloud. CIO strategies, they're not generally evenly distributed across clouds. The data shows that this is the case for less than 20% of the respondents, rather organizations are typically going to apply an 80, 20 or a 70, 30 rule for their multi-cloud approach. Meaning they pick a primary cloud on which most work is done, and then they use alternative clouds as either a hedge or maybe for specific workloads or maybe even data protection purposes. Now, if you think about it, optimizing on a primary cloud allows organizations to simplify their security and governance and consolidate their skills. At this point in the cloud evolution, it seems CIOs feel there's more value that is going to come from leveraging the cloud to change their operating models, and maybe broadly spreading the wealth to reduce risk or maybe cut costs, or maybe even to tap specialized capabilities. What's more in thinking about AWS and Microsoft respectively. Each can make a very strong case from MANO cloud. AWS has more features than any other cloud, and as such can handle most workloads. Microsoft can make a similar argument for its customers that have an affinity and a largest state of Microsoft software. The key for multi-cloud in our view will be the degree to which technology vendors can abstract the underlying cloud complexity and create a layer that floats above the clouds and adds incremental value. Snowflakes data cloud is one of the best examples of this, and we've covered that pretty extensively. Now, clearly VMware and Red Hat have aspirations at the infrastructure layer in a similar fashion. Pure storage, and NetApp are a couple of the largest storage players with similar visions. And then Qumulo and Clumio are two other examples with promising technologies, but they have a much smaller install base. Take a look at Cisco, Dell, IBM and HPE. They have a lot to gain and a lot to lose in this cloud game. So multi-cloud is an imperative for these leaders, but for them it's much more complicated because of the complexity and vastness of their portfolios. And notably Dell has VMware and IBM of course has Red Hat, which are key assets that can be leveraged for this multi-cloud game. HPE has a channel and a large install base, but all of these firms, they have to spread R&D much more thinly than some of these other companies that we mentioned for example. The bottom line is that multi-cloud has to be more than just plugging into an operating well on any of the clouds. It require... Which is by the way, this is mostly where we are today. It requires an incremental value proposition that solves a clear problem, and at the same time runs efficiently, meaning it takes advantage of cloud native services at scale. What sectors are showing momentum heading into 2021? And who are some of the names that are looking strong? We've reported a lot that cloud containers and container orchestration, machine intelligence and automation are by far the hottest sectors, the biggest areas of investment with the greatest spending momentum. Now we measure this in ETR parlance, remember by net score. But here's the good news, almost every other sector in the ETR taxonomy with the notable exception of IT outsourcing and IT consulting is showing positive spending momentum relative to previous surveys this year. Yeah, maybe not, it's not a shock, but it appears that the tech spending recovery will be broad-based. It's also worth noting that there are several vendors that stand out and we show a number of them here. CrowdStrike, Microsoft has had consistent performance in the dataset throughout this year. Okta, we called out those guys last year and they've clearly performed as you can see in their earnings reports. Pure storage, interestingly, big acceleration and a turnaround from last quarter in the dataset, and of course, snowflake has been off the charts as we reported many times. These guys are all seeing highly accelerated momentum. UiPath just announced its intent to IPO, AWS, Google, Zscaler, SailPoint, ServiceNow, and Elastic, these all continue to trend up. And so, there are some real positives that we're looking for a member of the ETR surveys, they're forward-looking. So we'll see, as we catch up next quarter. Now, before we wrap, I want to say a few words on security, and maybe it's a bit of a non-sequitur here, but I think it's relevant to the trends that we've been discussing, especially as we talk about moving to the cloud. And as you know, we've reported many times on the security space, basically updating you quarterly with our scenarios and the spending and the technology trends and highlighting our four-star companies. Four-star company's insecurity on those with both momentum and significant market presence. And last year we put CrowdStrike, Okta and Zscaler, and some others on the radar. And we've closely track the cyber business of larger companies with a security portfolio like Palo Alto and Cisco, and more recently, VMware has made some acquisitions. Now the government hacked that became news this week. It really underscores the importance of security. It remains the most challenging area for organizations because well, failure's not an option, skills are short, tools are abundant, the adversaries are very well-funded and extremely capable yet failure is common as we saw this week. And there's a misconception that cloud solves the security problem, and it's important to point out that it does not. Cloud is a shared responsibility model, meaning the cloud provider is going to secure the infrastructure for example, but it's up to you as the customer to configure things properly and deal with application security. It's ultimately on you. And the example of S3 is instructive because we've seen a number S3 breaches over the years where the customer didn't properly configure the S3 bucket. We're talking about companies like Honda and Capital One, not just small businesses that don't have the SecOps resources. And generally it was because a non-security person was configuring things. Maybe they were Or developers who are not focused on security, and perhaps permission set too broadly, and access was given to far too many people. Whatever the issue, it took some breaches and subsequent education to increase awareness of this problem and tighten it up. We see some similar trends occurring with new workloads, especially in cloud databases. It's becoming so easy to spin up new data warehouses for example, and we believe that there are exposures out there due the lack of awareness or inconsistent corporate governance being applied to these new data stores. As well, even though important areas like threat intelligence and database security are important, SecOps budgets are stretched thin. And when you ask companies where the priorities are, these fall lower down the list, these areas specifically have taken a back seat, the endpoint, identity and cloud security. And we bring this up because it's a potential blind spot as we saw this week with the US government hack. It was stealthy, it wasn't detected for many, many months. Who knows maybe even years. And not to be a buzzkill, but the point is, cloud enthusiasm has to be concompetent with security vigilant. Enough preaching, let's wrap up here. As we enter 2020, this year, we said the cloud was going to be the force that drove innovation along with data and AI. And as we look in the rear view mirror and put 2020 behind us, I know many of you want to do that, it was the cloud that enabled businesses to not only continue to operate, but to actually increase productivity. Nonetheless, we still see IT spending declines of four to 5% this year with an expectation of a tepid Q4 relative to the last year. We see Q1 slowly rebounding and kind of a swoosh, let me try that again, recovery in the subsequent quarters with tech spending rebounding in 2021 to a positive three to 5%, let's call it 4%. Now supporting us scenario, the pandemic forced a giant Petri dish for digital. And we see some real successes and learnings that organizations will apply in 2021 to bet on sure things. These are cloud, containers, AI, ML, machine intelligence pieces and automation. For sure, along with upticks for virtually every other sector of technology because spending has been so depressed. The two exceptions are outsourcing and IT consulting and related services which continue to be a drag on overall spending. Priorities must be focused on security and governance and further improvements in applying corporate edicts in a cloud world. We also see new data architectures emerging where domain knowledge becomes central to data platforms. We'll be covering this in more detail on top of the work that we've already done in this area. Now, automation is not only an opportunity, it's become a mandate. Yes, RPA, but also broader automation agendas be on point tools. And importantly, we're not talking about paving the cow path here by automating existing processes. Rather we're talking about rethinking processes across the entire organization for a new digital reality where many of these processes are being invented. The work of Erik Brynjolfsson and Andrew McAfee on the second machine age. It was pressured back in 2014 and the conclusions they drew, they're becoming increasingly important in the 2020s, meaning that look machines have always replaced humans throughout time. But for the first time in history, it's happening for cognitive functions, and a huge base of workers is going to be, or as being marginalized, unless they're retrained. Education and public policy that supports this transition is critical. And I for one would like to see a much more productive discussion that goes beyond the cult of break up big tech. Rather I'd like to see governments partner with big tech to truly do good and help drive the re-skilling of workers for the digital age. Now cloud remains the underpinning of the digital business mandate, but the path forward isn't really always crystal clear. This is evidenced by the virtual dead heat between those organizations that are consolidating workloads in a cloud workloads versus those that are hedging bets on a multi-cloud strategy. One thing is clear cloud is the linchpin for our growth scenarios and will continue to be the substrate for innovation in the coming decade. Remember, these episodes, they're all available as podcasts, wherever you listen, all you got to do is search Breaking Analysis podcast, and please subscribe to the series, appreciate that. Check out ETR's website at ETR.plus. We also publish full report every week on wikibond.com and siliconangle.com and get in touch with me at David.vallante, siliconangle.Com, you can DM me at D. Vellante. And please by all means comment on our LinkedIn posts. This is Dave Vellante for theCube Insights powered by ETR. Have a great week everybody, Merry Christmas, happy Hanukkah, happy Kwanzaa, or happy, whatever holiday you celebrate. Stay safe, be well, and we'll see you next time. (upbeat music)

>> Announcer: Live, from Las Vegas, it's The Cube! Covering Veritas Vision 2017. Brought to you by Veritas. >> Welcome back to the Aria Hotel in Las Vegas, everybody. We are covering Veritas Vision 2017, and this is The Cube, the leader in live tech coverage. My name is Dave Vellante, with Stu Miniman and Mike Palmer is here, he's the Executive Vice President and Chief Product Officer at Veritas. Mike, thanks for coming to The Cube. >> Thank you for having me here. >> Great keynote, yesterday. We see hundreds, if not thousands of these discussions, and talking head presentations, and yours was hilarious. Let's set up for the people who didn't see it, yesterday. Mike gets up there, and he's talking about the, there's a video that's playing about the end of the world. And the basic theme is that you didn't take care of your data, and now the world's coming to an end. Las Vegas was in shambles, and there were waterfalls running through the hotels, drones attacking people, and then you picked it up from there and then took it into, just a really funny soliloquy. But, where'd you come up with that idea? And, how do you think, I thought it went great, but how did you feel afterwards? >> Well, I can take only partial credit. I have an amazing creative team, and when you work at a company that's been doing, you know, large-scale enterprise data-center stuff, we know that part of our obligation for our audience is kind of making it more palpable for them, making it feel a little bit more, bringing the emotion to it. So we want to have a little bit of excitement in there. But at the same time, we have a real message, you know, and hopefully that came across, too. >> It did, and then, you know, but again, a lot of good humor, the megabytes, gigabytes, you know, up to zetabytes, yadabytes, Mike Tyson-bytes, on and on and on. (laughing) Very clever, so congratulations on that... >> Mike: Oh, thanks! >> We really enjoyed it. Mixed things up a little bit. So, and again, very transparent. We talked about the UX, not the best. You're not happy with it. >> Mike: Right. >> And again, very transparent about that, I think that's a theme of many successful companies, today. But, so, let's start with, sort of, what does it take as the Chief Product Officer, to transform a company from somebody who's been around since 1983, into a modern, you know, cloud-like, hyper-scale, you know, set of service and software offerings. >> That's a big question, but I can tell you the first thing that it takes, the most important thing that it takes, is the best engineering team in the world. You can do a lot of things around the outside, we need to fix our UX, we know that, often considered that to be the kitchens and bathrooms of our house remodel. But if your foundation's broken, if your framing isn't there, you really don't have much of an asset to put on the market. We have a great engineering team, we are releasing products at a velocity that is incomparable in the enterprise ISV space, and we're super proud of that. So I think that's the number one thing. I think number two is the other thing, that we're the envy of the industry, for, and that is, an amazing install-base of customers. Very hard to name a fortune 2000 company that isn't a significant customer of Veritas, so we have a great basis to collaborate and innovate. You know, the rest, we know we have some work to do as we bring it into the modern age. You know, we talked a lot about the fact that workloads are changing in data centers, architectures are changing, we're establishing new partnerships with some of the sponsors that you see here today, like Microsoft, like Google, like IBM, and Oracle, and others. And, you know, it takes a village and they're helping us move into the next 10 years. >> Stu: You know, Mike, talk a little bit about the transition from, you know, software that lived on servers, to now, well, cloud is just isn't somebody else's servers, I think, is the word for that. >> Mike: Right. >> You know, it definitely, we've talked many times this week, you know, Veritas was software-defined before there was such a thing, used to be the FUD from the traditional players, that it was like, oh, you can't trust stuff like that, and now, of course, they're all software-defined and, you know, talking about that, too, so, what does that mean, going to kind of, being completely agnostic, for where things lived, and some of the intricacies of trying to work with, you know, some of the big and small cloud-players? >> A lot of questions in there, and I think David Noy, who I know you guys are going to talk to later, is going to talk a bit more specifically about this, but one of the first things you have to keep in mind, is if you're building software to be software-defined, then you have to build it without considering the hardware platform that you may deliver it on. And I think that's where some of our competitors get it wrong, they can say that they're software-defined, but the litmus test is, can I really pick up this software without modification, and go run it in one of those hyper-scalers? Or put it on one of the white boxes that I went into the market and procured and integrated myself? Veritas has been doing that for a long time. In fact, if you really look at Veritas's core, we're an integrator. We've been an integrator of applications, through the protection space, in our file-system and our info-scale technologies, we are integrators of operating systems, when you look at hyper-scalers, they're just the next operating system. Someone else's hardware, as you said. So we look to protect our customers in terms of their choices, make flexibility a real part of the multi-cloud architecture they're putting together, still doing the things we do well with protection, and ultimately layer on that last little bit when we're talking software-defined and that is not just focus on the infrastructure, but really aspire to this, how do I better manage data and get value from data? >> You know, Mike, I want to dig one level deeper on that. So, the cloud providers, it's all well and good to say, yeah, I'm agnostic, but each of them have their own little nuances. It's, at least today, it's not like, oh, I choose today to wake up and this one has cheaper prices, and it's not a commodity, it's not a utility, and each one of them have services that they want you to integrate with, have to have deeper, how do you balance that, you know, integration, how much work's done, where the customers are pulling you, how does that product portfolio get put together? >> That's an excellent question and I will be fully honest, that a year ago we thought about the answer to that question very differently than we do today. You know, a year ago, I think we were somewhat naive, and thought, hey, we're going to throw a thin layer of capability on top of the clouds, and in effect commoditize them ourselves, and hope our customers just move around as if there were no underlying services. And obviously if you're a cloud-provider, that is not an approach that you're a big fan of. (laughing) And frankly, it's a disservice to the customers, because they are building some really valuable services, and they are differentiating themselves. Our approach has changed, our approach today is a very deep-level integration with each cloud provider, and the specialization they're bringing to the market, without sacrificing the portability, without sacrificing the built-in protections that the cloud providers aren't putting on their platforms and don't want to put on their platforms. And again going back to this idea of data, ultimately, if it's someone else's hardware, in effect, in some cases, someone else's application, it's always your data, and how we are servicing that data is really the key. >> So, that's really hard work. In a lot of cases, you have to interface with very low-level, primitive APIs from the cloud service providers. How do you, sort of, balance your resources, or a portion of your resources, between doing that, because you guys, I call it the compatibility matrix, all kinds of data stores, all kinds of clouds, every one of those is engineering resources. And it seems that's a key part of your strategy, but you got to be sacrificing something, which is maybe, you know, the next widget on your existing products. How do you think about proportioning those? >> You know, at Veritas, in a way, the emergence of the cloud ecosystem actually improves that situation for us. We're carrying 30 years of operating systems that have come and gone, that have incremented versions, and our customers often strand or isolate single examples of those boxes, from 20 years ago that they expect us to test all of our software against, on their behalf. (laughing) For example, right, and so when you look at where we are today, there are five or 10 cloud providers, versus hundreds of operating system versions, and application, we have no problem supporting the proliferation in cloud, we actually welcome the ability to support those... >> Stu: You're much happier with the one version of AJUR, as opposed to the old Patch Monday. >> Exactly right, and you know, they upgrade the whole thing at once... >> Yeah. >> They issue a couple new services, and we adapt 'em, no problem. >> Am I thinking about it the wrong way? Because, while that's true, and I understand that, but within an individual cloud, you could have 15 data services. I think about AWS data services, their data pipeline is increasingly complex, so. Doesn't that complexity scale in a different direction? >> Mike: It scales differently for sure, but I would give a lot of credit to the cloud providers, because they're taking a lot of the regression testing that we used to have to do, for example, with application providers and operating system providers who didn't think about us when they were building their products. The cloud providers take accountability for regression testing all of the things that they release to their customers. So when we adopt an API, we're fully confident that that API works in the context of that cloud environment. So that's off our plate. It really isolates the need for us to simply test that API against our environment. >> Dave: OK, so much more stable and predictable environment for you. I want to ask you, I've heard the term modern data protection a lot, what is modern data protection? Everyone wants to be next-gen, how do you define modern data protection? >> Mike: And this is something we're super passionate about, because our industry has been around for quite a long time, and you get terms thrown out there, like legacy or modern, and everyone's fighting for brand recognition, and kind of, end of the growth spaces in the market. For us, it actually is very simple. We recognize that there are a lot of different techniques to protect data, we think of these protection schemes like lots of different insurance policies, and lots of different tools in your toolbox. Where Veritas is going to win, and continues to win, is that we can offer our customers all of those techniques. We're not trying to convince them that one technique is so much more special than another one, that they need to diversify and create complexity in their environment, so we talk about modern data protection as the ability to choose snapshots, or back-ups, or copy data management, or workload migration, in the future there will be other ways to do this: continuous data protection, or scale-out platforms for cloud providers. These are just techniques inside of a Veritas portfolio, as opposed to stand-alone companies that create complexity for our customers. So, modernization is choice. >> Dave: OK, so you have this awesome install-base. Bill Coleman said to us yesterday, in response to a similar but related question, that it's ours to lose. And the question that we have is, as you look at that install base, you got to get them onto this modern data platform. How do you do that? Do you write some abstraction layer? You talked about that thin layer in the cloud, you must have thought about doing that. Is that what you're doing? How is that going? What does that journey look like? >> Mike: You know, that is one of the most fundamental strategy questions for Veritas. And one of the things we recognized early on, is that while we do have an amazing install base of customers, and those customers are hyper-scaled themselves, you're talking about customers with tens of thousands of servers running our software, both on the storage and the protection site, so the thing that we cannot ask them to do is continuously upgrade their environment to take advantage of new features. We will put out one-to-two major releases of our software, particularly on a protection side, annually. But we're innovating at a far greater pace than that, so we've made some conscious choices to create new architectures for our customer that are workload-specific, so Cloud Point, being a great example, coming out in July, our Object Store announcements, underpinning our next generation protection solutions. So they have modern storage capabilities, our second example. But pulling them together is where only Veritas can offer a customer a complete catalog of that data. So, combining your net back-up catalog with Cloud Point, for example, with your storage, with what you've put into cloud, provides a customer, for the first time, kind of a complete view of the secondary estate. And so, as long as we get that right, we don't have to upgrade, we don't have to seed, what we have to do is enable our customers, through simple adoption of new tools, provide that visibility over the top, and I think that they'll be good to go. >> So that's kind of like a, I think of a term, backward compatibility, is essentially what you're providing for your install base, is that right? >> Mike: That's exactly right. Providing, and this is where API-based infrastructure and service-driven architectures help us a lot. We don't have to fully instantiate a code-base every time that we want to offer a service to a customer. >> Dave: There aren't many independent, in fact there aren't any independent, is one, two-and-a-half billion dollar software companies in your space, but there are many emerging guys, who are getting a lot of attention, well-funded, some, you know, hitting that kind of, 100 million dollar revenue mark, at least it appears that way. How do you look at those guys? What do you learn from them? You know, Branson said today, you know, you learn by listening and watching, in this case. You're watching the market, obviously, what are you seeing there, it's the hottest space in the infrastructure market right now, is your space and security. Are the two, you know, smoking hot spaces. What are you observing, and what are you learning? >> And I think the direct answer to your question is probably the user. You know, and I think that's the lesson of the industry even over the last 15 years, is that when a new workload arises, it's creating a new user inside the enterprise IT department. And that user often gets to determine all of the services that they need to make themselves successful. If that is a cloud workload, and they need availability services, or they need protection services, they want that to integrate in the same place that they buy in provision their cloud workload. If it's a container workload it's the same. We saw the rise of some of our competitors that got to multi-hundred million dollar revenue streams, by focusing on a single user, and a single type of transaction, with a single type of interface. And Veritas kind of lost its way, I think, a little bit, back in that time. So what we are watching today, is who are our users? What workloads are emerging? What sort of interfaces do we need to develop for those users? Which is why we made our UX statements as strongly as we did. We're committed to those. That is going to be the future of Veritas, it's serving the broadening user-base inside of enterprise. >> Dave: You're seeing a lot of discussion in the industry around design thinking, I know we're out of time, here, but, you know, you see companies, like, for instance, Charles Phillips's company, Infor, bought a company called Hook and Loop, and they're all about design, and, how is design thinking fitting into your, sort of, UX/UI plans? >> I mean, the parlance that we use internally is jobs to be done. Right, we clearly want to create a very consistent user experience, and look and feel, we want our customers to be proud to be Veritas customers. But we have to be super cognizant of, what is the job they're trying to get accomplished? And allow the system to be designed around accommodating that. If that is, I want three workflows in three steps or less, can I do that? It could be, I have a very complicated job and I want the ability to control very granular things, do I have an interface to do that? So, if we know the user and the job to be done, we can create a consistent look and feel, I think that we are, we're going to not only ride the wave, of change inside of our particular industry, but I think we're going to wind up in a consolidation space where we're a big winner. >> All right, last question, the bumper sticker on Vision 2017, as the trucks are pulling away from the area, what's the bumper sticker? >> Mike: Secondary data is your most under-utilized asset, and a platform provider is what you need to take advantage of it. >> Dave: All right, Mike, thanks very much for coming to The Cube. Congratulations, and good luck. >> Thank you for having me. >> All right, you're welcome, keep right there, buddy, Stu and I will be back with our next guest. The Cube, live we're live from Veritas Vision 2017. Be right back.